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相关概念视频

Distributed Loads01:19

Distributed Loads

539
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
539
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

647
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
647
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

119
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
119
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

204
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
204
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

180
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments.
180
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

194
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
194

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Updated: Jul 9, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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一个改进的节能云优化负载平衡,用于物联网框架.

Nageswara Rao Moparthi1, G Balakrishna2, Premkumar Chithaluru3

  • 1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, 522302, India.

Heliyon
|December 6, 2023
PubMed
概括
此摘要是机器生成的。

一个新的基于云的负载平衡算法通过改善响应时间和减少能源消耗来增强物联网 (IoT) 网络. 该解决方案解决了云集成物联网架构的挑战,以提高性能和效率.

关键词:
云 云 云 云 云 云 云 云 云能源消耗 能源消耗是指能源的消耗.这就是为什么物联网物联网物联网.负载平衡器的负载平衡器响应时间响应时间WSN WSN 在线新闻

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科学领域:

  • 计算机科学 计算机科学
  • 网络工程 网络工程
  • 云计算 云计算 云计算 云计算

背景情况:

  • 无线通信和物联网 (IoT) 的普及需要高效的网络解决方案.
  • 现有的物联网网络面临通信开销和数据管理方面的挑战,推动了对先进负载平衡技术的需求.
  • 将物联网数据和应用程序迁移到云端需要专门的负载平衡算法,这些算法适用于云集成的物联网架构.

研究的目的:

  • 为物联网网络设计一种新的基于云的负载平衡算法.
  • 改善网络响应时间,减少云集成物联网环境中的能源消耗.
  • 开发一个负载平衡解决方案,可以很容易地与现有的物联网框架集成.

主要方法:

  • 分析云计算环境中的实际和虚拟主机要求.
  • 在云集成物联网网络中开发一种独特的负载控制方法.
  • 将拟议的负载平衡算法与现有的物联网框架集成.

主要成果:

  • 拟议的负载平衡器显著提高了物联网网络响应时间的60%.
  • 能源消耗 (31%),执行时间 (24%),节点关机时间 (45%) 和基础设施成本 (48%) 的减少.
  • 模拟结果证实了拟议框架在解决基于物联网的云负载平衡问题的有效性.

结论:

  • 开发的基于云的负载平衡器为云集成物联网架构中的负载管理提供了卓越的解决方案.
  • 该算法有效地提高了网络性能指标,包括响应时间和能源效率.
  • 与现有解决方案相比,拟议的框架提供了显著的成本和时间节省.